{"id":"W4235930536","doi":"10.1515/iupac.88.1391","title":"Syndrome","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001127905,0.001199292,0.001103991,0.00304101,0.0008334654,0.002891809,0.001933072,0.001569781,0.1910637],"category_scores_gemma":[0.01143316,0.0004510743,0.001570802,0.00542909,0.0003372297,0.002424309,0.002167594,0.001375082,0.156489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001369152,"about_ca_system_score_gemma":0.002547153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01821692,"about_ca_topic_score_gemma":0.03106758,"domain_scores_codex":[0.998134,0.0003005784,0.0004198599,0.0005985331,0.0003572931,0.0001896914],"domain_scores_gemma":[0.9961945,0.001043256,0.0005111498,0.000868691,0.001174061,0.0002084823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001493727,0.00001694516,0.003197279,0.001489473,0.00005392838,0.0000507113,0.00004294132,0.0001143938,0.0001106339,0.001537256,0.9780968,0.01514046],"study_design_scores_gemma":[0.00009919133,0.00001524188,0.006307409,0.0008891547,0.00003951685,0.0001463691,0.0001047656,0.0001157263,0.0001527589,0.001784093,0.9903209,0.00002483167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002817099,0.0003389927,0.0002169125,0.0002495027,0.00009380392,0.00004583552,0.9927931,0.0003049475,0.005675311],"genre_scores_gemma":[0.001041749,0.0004333073,0.0005685189,0.0004627091,0.00003480064,0.0001775783,0.9927709,0.0001005637,0.004409929],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1910637,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142863880744785,"score_gpt":0.4493896559415075,"score_spread":0.4379610171340597,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}